Oil spill detection method for marine radar based on multi-dimensional features and improved MShOA

Key Points

• The new method shows strong robustness in oil spill detection using marine radar data, offering potential for real-time monitoring.
• Accuracy is heightened through a combination of multi-dimensional feature generation and an improved mantis shrimp optimization algorithm.
• The approach involves advanced data clustering techniques, particularly k-means, to effectively identify oil slicks amid noise.
• Future applications may enhance environmental protection strategies against oil spill incidents, addressing critical ecological concerns.

Abstract